Alexandra C. Chadwick

2.1k total citations · 1 hit paper
18 papers, 899 citations indexed

About

Alexandra C. Chadwick is a scholar working on Molecular Biology, Surgery and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Alexandra C. Chadwick has authored 18 papers receiving a total of 899 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 8 papers in Surgery and 4 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Alexandra C. Chadwick's work include CRISPR and Genetic Engineering (7 papers), Cholesterol and Lipid Metabolism (6 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers). Alexandra C. Chadwick is often cited by papers focused on CRISPR and Genetic Engineering (7 papers), Cholesterol and Lipid Metabolism (6 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers). Alexandra C. Chadwick collaborates with scholars based in United States, Poland and United Kingdom. Alexandra C. Chadwick's co-authors include Kiran Musunuru, Xiao Wang, Daisy Sahoo, William R. Drobyski, Calvin B. Williams, Amy Beres, Dipica Haribhai, William J. Zacharias, Heather A. Hartman and John D. Stratigis and has published in prestigious journals such as Nature Medicine, Nature Communications and The Journal of Immunology.

In The Last Decade

Alexandra C. Chadwick

18 papers receiving 889 citations

Hit Papers

GalNAc-Lipid nanoparticles enable non-LDLR dependent hepa... 2023 2026 2024 2025 2023 25 50 75
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. GalNAc-Lipid nanoparticles enable non-LDLR dependent hepatic delivery of a CRISPR base editing therapy
    2023 93 citations Lisa N. Kasiewicz, Souvik Biswas et al. Nature Communications profile →

Peers

Alexandra C. Chadwick
Laurel Mendelsohn United States
Diane Yang United States
Yongxian Zhang China
Solenne Marmier France
Aitor Etxebarria Spain
Wenjuan Luo China
Joseph Chiesa United Kingdom
Amit K. Maiti United States
Shrimati Datta United States
Liang Ji China
Laurel Mendelsohn United States
Alexandra C. Chadwick
Citations per year, relative to Alexandra C. Chadwick Alexandra C. Chadwick (= 1×) peers Laurel Mendelsohn

Countries citing papers authored by Alexandra C. Chadwick

Since Specialization
Citations

This map shows the geographic impact of Alexandra C. Chadwick's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Alexandra C. Chadwick with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexandra C. Chadwick more than expected).

Fields of papers citing papers by Alexandra C. Chadwick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alexandra C. Chadwick. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Alexandra C. Chadwick. The network helps show where Alexandra C. Chadwick may publish in the future.

Co-authorship network of co-authors of Alexandra C. Chadwick

This figure shows the co-authorship network connecting the top 25 collaborators of Alexandra C. Chadwick. A scholar is included among the top collaborators of Alexandra C. Chadwick based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Alexandra C. Chadwick. Alexandra C. Chadwick is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Rohde, Ellen, Richard Lee, Anne Marie Mazzola, et al.. (2025). † VERVE-102, a clinical stage in vivo base editing medicine, leads to potent and precise inactivation of PCSK9 in preclinical studies. Journal of clinical lipidology. 19(3). e68–e68. 1 indexed citations
2.
Kasiewicz, Lisa N., Souvik Biswas, Chaitali Dutta, et al.. (2023). GalNAc-Lipid nanoparticles enable non-LDLR dependent hepatic delivery of a CRISPR base editing therapy. Nature Communications. 14(1). 2776–2776. 93 indexed citations breakdown →
3.
Alapati, Deepthi, William J. Zacharias, Heather A. Hartman, et al.. (2019). In utero gene editing for monogenic lung disease. Science Translational Medicine. 11(488). 79 indexed citations
4.
5.
Rossidis, Avery C., John D. Stratigis, Alexandra C. Chadwick, et al.. (2018). In utero CRISPR-mediated therapeutic editing of metabolic genes. Nature Medicine. 24(10). 1513–1518. 148 indexed citations
6.
Chadwick, Alexandra C., Davin R. Jensen, Paul Hanson, et al.. (2017). NMR Structure of the C-Terminal Transmembrane Domain of the HDL Receptor, SR-BI, and a Functionally Relevant Leucine Zipper Motif. Structure. 25(3). 446–457. 16 indexed citations
7.
Chadwick, Alexandra C. & Kiran Musunuru. (2017). Genome Editing for the Study of Cardiovascular Diseases. Current Cardiology Reports. 19(3). 22–22. 20 indexed citations
8.
Chadwick, Alexandra C. & Kiran Musunuru. (2017). Treatment of Dyslipidemia Using CRISPR/Cas9 Genome Editing. Current Atherosclerosis Reports. 19(7). 32–32. 18 indexed citations
9.
Chadwick, Alexandra C. & Kiran Musunuru. (2017). CRISPR-Cas9 Genome Editing for Treatment of Atherogenic Dyslipidemia. Arteriosclerosis Thrombosis and Vascular Biology. 38(1). 12–18. 20 indexed citations
10.
Chadwick, Alexandra C., Xiao Wang, & Kiran Musunuru. (2017). In Vivo Base Editing of PCSK9 (Proprotein Convertase Subtilisin/Kexin Type 9) as a Therapeutic Alternative to Genome Editing. Arteriosclerosis Thrombosis and Vascular Biology. 37(9). 1741–1747. 169 indexed citations
11.
Chadwick, Alexandra C., Yiliang Chen, Michael J. Thomas, et al.. (2015). Acrolein Impairs the Cholesterol Transport Functions of High Density Lipoproteins. PLoS ONE. 10(4). e0123138–e0123138. 37 indexed citations
12.
Oleson, Bryndon J., Katarzyna A. Broniowska, Alexandra C. Chadwick, et al.. (2015). Inhibition of an NAD+ Salvage Pathway Provides Efficient and Selective Toxicity to Human Pluripotent Stem Cells. Stem Cells Translational Medicine. 4(5). 483–493. 22 indexed citations
13.
Chen, Yiliang, David J. Kennedy, Devi Prasadh Ramakrishnan, et al.. (2015). Oxidized LDL–bound CD36 recruits an Na + /K + -ATPase–Lyn complex in macrophages that promotes atherosclerosis. Science Signaling. 8(393). ra91–ra91. 74 indexed citations
14.
Korytowski, Witold, et al.. (2015). Impairment of Macrophage Cholesterol Efflux by Cholesterol Hydroperoxide Trafficking. Arteriosclerosis Thrombosis and Vascular Biology. 35(10). 2104–2113. 40 indexed citations
15.
Chadwick, Alexandra C., Davin R. Jensen, Francis C. Peterson, Brian F. Volkman, & Daisy Sahoo. (2014). Expression, purification and reconstitution of the C-terminal transmembrane domain of scavenger receptor BI into detergent micelles for NMR analysis. Protein Expression and Purification. 107. 35–42. 8 indexed citations
16.
Chadwick, Alexandra C. & Daisy Sahoo. (2013). Functional genomics of the human high-density lipoprotein receptor scavenger receptor BI. Current Opinion in Endocrinology Diabetes and Obesity. 20(2). 124–131. 11 indexed citations
17.
Chadwick, Alexandra C. & Daisy Sahoo. (2012). Functional Characterization of Newly-Discovered Mutations in Human SR-BI. PLoS ONE. 7(9). e45660–e45660. 44 indexed citations
18.
Beres, Amy, et al.. (2012). CD8+ Foxp3+ Regulatory T Cells Are Induced during Graft-versus-Host Disease and Mitigate Disease Severity. The Journal of Immunology. 189(1). 464–474. 97 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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